The graph represents a network of 9,383 Twitter users whose tweets in the requested range contained "Malaria", or who were replied to or mentioned in those tweets. The network was obtained from the NodeXL Graph Server on Friday, 03 December 2021 at 16:22 UTC.
The requested start date was Friday, 03 December 2021 at 01:01 UTC and the maximum number of days (going backward) was 14.
The maximum number of tweets collected was 7,500.
The tweets in the network were tweeted over the 2-day, 15-hour, 36-minute period from Tuesday, 30 November 2021 at 09:23 UTC to Friday, 03 December 2021 at 01:00 UTC.
Additional tweets that were mentioned in this data set were also collected from prior time periods. These tweets may expand the complete time period of the data.
There is an edge for each "replies-to" relationship in a tweet, an edge for each "mentions" relationship in a tweet, and a self-loop edge for each tweet that is not a "replies-to" or "mentions".
The graph is directed.
The graph's vertices were grouped by cluster using the Clauset-Newman-Moore cluster algorithm.
The graph was laid out using the Harel-Koren Fast Multiscale layout algorithm.
Author Description
Vertices : 9383
Unique Edges : 5936
Edges With Duplicates : 10105
Total Edges : 16041
Number of Edge Types : 5
Retweet : 4382
MentionsInRetweet : 5736
Tweet : 1388
Replies to : 1540
Mentions : 2995
Self-Loops : 1451
Reciprocated Vertex Pair Ratio : 0.024390243902439
Reciprocated Edge Ratio : 0.0476190476190476
Connected Components : 2063
Single-Vertex Connected Components : 733
Maximum Vertices in a Connected Component : 2057
Maximum Edges in a Connected Component : 5375
Maximum Geodesic Distance (Diameter) : 24
Average Geodesic Distance : 7.860874
Graph Density : 0.000106871071525396
Modularity : 0.597462
NodeXL Version : 1.0.1.447
Data Import : The graph represents a network of 9,383 Twitter users whose tweets in the requested range contained "Malaria", or who were replied to or mentioned in those tweets. The network was obtained from the NodeXL Graph Server on Friday, 03 December 2021 at 16:22 UTC.
The requested start date was Friday, 03 December 2021 at 01:01 UTC and the maximum number of days (going backward) was 14.
The maximum number of tweets collected was 7,500.
The tweets in the network were tweeted over the 2-day, 15-hour, 36-minute period from Tuesday, 30 November 2021 at 09:23 UTC to Friday, 03 December 2021 at 01:00 UTC.
Additional tweets that were mentioned in this data set were also collected from prior time periods. These tweets may expand the complete time period of the data.
There is an edge for each "replies-to" relationship in a tweet, an edge for each "mentions" relationship in a tweet, and a self-loop edge for each tweet that is not a "replies-to" or "mentions".
Layout Algorithm : The graph was laid out using the Harel-Koren Fast Multiscale layout algorithm.
Graph Source : GraphServerTwitterSearch
Graph Term : Malaria
Groups : The graph's vertices were grouped by cluster using the Clauset-Newman-Moore cluster algorithm.
Edge Color : Edge Weight
Edge Width : Edge Weight
Edge Alpha : Edge Weight
Vertex Radius : Betweenness Centrality
Top Domains
Top Word Pairs in Tweet in Entire Graph:
[349] mosquitoes,one [349] one,man [349] man,fastest [349] fastest,killers [349] killers,malaria [349] malaria,disagree [349] disagree,think [349] think,women [348] sarcasm_presh,mosquitoes [300] know,malaria Top Word Pairs in Tweet in G1:
[36] malaria,vaccine [29] avian,malaria [26] first,malaria [19] against,malaria [18] died,malaria [17] covid,19 [15] penguins,die [15] indiana,zoo [15] despite,hurdles [14] african,penguins Top Word Pairs in Tweet in G2:
[107] malaria,vaccine [107] #malaria,vaccine [97] fight,against [92] against,#malaria [91] first,#malaria [86] gavi,board [61] health,systems [57] decision,gavi [51] funding,roll [51] responds,#covid19 Top Word Pairs in Tweet in G3:
[346] mosquitoes,one [346] one,man [346] man,fastest [346] fastest,killers [346] killers,malaria [346] malaria,disagree [346] disagree,think [346] think,women [345] sarcasm_presh,mosquitoes [284] morning,dreamt Top Word Pairs in Tweet in G4:
[193] em,estado [193] estado,grave [193] grave,malária [121] uma,jovem [121] jovem,indígena [121] indígena,19 [121] 19,anos [121] anos,comunidade [121] comunidade,maloca [121] maloca,paapiu Top Word Pairs in Tweet in G5:
[188] fights,against [188] against,malaria [188] malaria,cybercrime [188] cybercrime,common [188] common,#huawei [188] #huawei,usa [188] usa,cso [188] cso,andy_purdy [188] andy_purdy,answers [188] answers,read Top Word Pairs in Tweet in G6:
[29] immune,system [27] smallpox,malaria [26] ah,yes [26] yes,human [26] human,immune [26] system,known [26] known,having [26] having,amazing [26] amazing,track [26] track,record Top Word Pairs in Tweet in G7:
[120] dengue,malaria [114] purchase,file [114] file,dengue [103] missing,mayors [103] mayors,office [103] sent,dmc [102] malaria,medicines [102] medicines,pending [102] pending,over [102] over,months Top Word Pairs in Tweet in G8:
[148] covid,19 [128] global,fund [109] please,ensure [103] ensure,fy23 [103] tb,malaria [102] fy23,budget [102] budget,contains [102] contains,strong [102] strong,investment [102] aids,tb Top Word Pairs in Tweet in G9:
[209] wakili,wa [209] wa,serikali [106] shahidi,ndiyo [105] ndiyo,wakili [104] serikali,unasema [104] unasema,wewe [104] wewe,uliugua [104] uliugua,ugonjwa [104] ugonjwa,uliouita [104] uliouita,brain Top Word Pairs in Tweet in G10:
[73] yellow,fever [67] fever,vaccine [65] adult,life [65] life,taken [65] taken,yellow [65] vaccine,comply [65] comply,international [65] international,travel [65] travel,one [65] one,shot Top Replied-To in Entire Graph:
Top Replied-To in G2:
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Top Replied-To in G6:
Top Replied-To in G7:
Top Replied-To in G8:
Top Replied-To in G10:
Top Mentioned in Entire Graph:
Top Mentioned in G1:
Top Mentioned in G2:
Top Mentioned in G3:
Top Mentioned in G4:
Top Mentioned in G5:
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Top Mentioned in G7:
Top Mentioned in G8:
Top Mentioned in G9:
Top Mentioned in G10:
Top Tweeters in Entire Graph:
Top Tweeters in G1:
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Top Tweeters in G5:
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Top Tweeters in G8:
Top Tweeters in G9:
Top Tweeters in G10: